G. de los Campos

Genetics · 2009–2017

A researcher in the Science corpus: 12 papers; trusts 36 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 115 citations into it; #807 of 6,854 by trust here, #705 by citations
• Plant Science — 84 citations into it; #1,148 of 8,232 by trust here, #1,087 by citations
• Statistics and Probability — 33 citations into it
• Artificial Intelligence — 17 citations into it
• Optimization & Training — 12 citations into it
• Molecular Biology — 11 citations into it; #15,117 of 17,773 by trust here, #14,176 by citations
• Statistical Learning Theory — 9 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom G. de los Campos trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert Tibshirani
2. Paul M. Vanraden
3. Ben J. Hayes
4. Trevor Park
5. John K. Kruschke
6. D. Gianola
7. Jose Crossa
8. Trevor J. Hastie
9. Michael E. Goddard
10. R. Bernardo

Who trusts G. de los Campos overall

1. Jose Crossa
2. P. Pérez
3. Jeffrey B. Endelman
4. G. Covarrubias-Pazaran
5. Juan Burgueño
6. John M. Hickey
7. Nicolas Heslot
8. Jean-Luc Jannink
9. Susanne Dreisigacker
10. Jiabo Wang

Papers from G. de los Campos's perspective

Ordered by how strongly the researchers G. de los Campos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Efficient methods to compute genomic predictions. (Journal of Dairy Science)
3. Invited review: Genomic selection in dairy cattle: progress and challenges. (Journal of Dairy Science)
4. The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values (Genetics)
5. Prediction of total genetic value using genome-wide dense marker maps. (Genetics)
6. Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures (Genetics)
7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
8. Invited review: reliability of genomic predictions for North American Holstein bulls. (Journal of Dairy Science)
9. Addendum: Regularization and variable selection via the elastic net
10. Genomic measures of relationship and inbreeding

Their papers

• Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. (2010) — 318 citations
• Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. (2017) — 1,416 citations
• Implementation of genomic selection in the poultry industry (2016) — 103 citations
• Extending the Marker × Environment Interaction Model for Genomic‐Enabled Prediction and Genome‐Wide Association Analysis in Durum Wheat (2016) — 99 citations
• Genome-Wide Regression and Prediction with the BGLR Statistical Package (2014) — 1,421 citations
• Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding (2013) — 853 citations
• Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor (2013) — 332 citations
• Factors Affecting the Accuracy of Genotype Imputation in Populations from Several Maize Breeding Programs (2012) — 135 citations
• Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers (2012) — 541 citations
• Genomic Selection and Prediction in Plant Breeding (2011) — 130 citations
• Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers (2010) — 728 citations
• Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree (2009) — 599 citations